Feature extraction involves simplifying the amount of resources required to describe a large set of data accurately. When performing analysis of complex data one of the major problems stems from the number of variables involved.
Feature Extraction
Feature Extraction is difficult for young students, so we collected some matlab source code for you, hope they can help.
The source code and files included in this project are listed in the project files section, please make sure whether the listed source code meet your needs there.
Project Files:
Feature extraction for character recognition in matlab
Texture feature extraction gldm in matlab
Feature extraction using multisignal wavelet transform decomposition in matlab
Descriptor for shapes and letters (feature extraction) in matlab
Feature points in image, keypoint extraction in matlab
Feature extraction using multisignal wavelet packet decomposition in matlab
2dlda pk lda for feature extraction in matlab
Differential feature in matlab
Few audio features in matlab
This deals with the ngtdm in textural feature extraction in matlab
Reaction diffusion transform using one dimension in matlab
Keypoint extraction in matlab
Object matching in matlab
Post image files thermal image object identification in matlab
Lidric is a "a local image descriptor robust to illumination changes" in matlab
Laplacian smoothing transform (lst) for face recognition in matlab
Siftgpu sift enabled on gpu in matlab
Multiscale stereo features matching in matlab
Currency recognition in matlab
Match plot in matlab
Information theoretic feature selection in matlab
Some basic audio features in matlab
Glcm texture features in matlab
Sfta texture extractor in matlab
This function provides an example of feature-extraction in a binary image. in matlab
Alaa tharwat toolbox in matlab
Image descriptors features and saliency maps in matlab
Extract text from a pdf document in matlab
Three dimensional reconstruction from planar slices. in matlab
Sift( scale invariant feature transform) in matlab